LightAutoML
lazypredict
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| LightAutoML | lazypredict | |
|---|---|---|
| 1 | 3 | |
| 767 | 2,661 | |
| - | - | |
| 9.2 | 0.0 | |
| about 2 years ago | about 2 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
LightAutoML
lazypredict
- [D] Looking for github package testing many decision tree models - it exists but I can't find it in my browser history
- Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
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LazyText
LazyText is inspired b the idea of lazypredict, a library which helps build a lot of basic models without much code. LazyText is for text what lazypredict is for numeric data.
What are some alternatives?
FEDOT - Automated modeling and machine learning framework FEDOT
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
AlphaPy - Python AutoML for Trading Systems and Sports Betting
cookiecutter-data-science - A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
MLBox - MLBox is a powerful Automated Machine Learning python library.
jupyter - Jupyter metapackage for installation, docs and chat
gmr - Gaussian Mixture Regression
autogluon - AutoGluon: Fast and Accurate ML in 3 Lines of Code
Genome - Genome Network Ala Neural Network
Language_Identifier - Language Identification classification using XGBoost
lazytext - LazyText is inspired by the idea of lazypredict, a library which helps build lot of basic models without much code. LazyText is for text what lazypredict is for numeric data.